Blood Plasma Film Multifractal Scanning in COVID-19 Consequences Diagnostics.

Autor: Ushenko A; Electro-Optical & Information Center, Taizhou Institute of Zhejiang University, Taizhou, China.; Optics and Publishing Department, Chernivtsi National University, Chernivtsi, Ukraine., Pavlyukovich N; Department of Internal Medicine, Clinical Pharmacology and Occupational Diseases, Bukovinian State Medical University, Chernivtsi, Ukraine., Khukhlina O; Department of Internal Medicine, Clinical Pharmacology and Occupational Diseases, Bukovinian State Medical University, Chernivtsi, Ukraine., Pavlyukovich O; Department of Forensic Medicine and Medical Law, Bukovinian State Medical University, Chernivtsi, Ukraine., Soltys I; Optics and Publishing Department, Chernivtsi National University, Chernivtsi, Ukraine., Dubolazov A; Optics and Publishing Department, Chernivtsi National University, Chernivtsi, Ukraine., Ushenko Y; Department of Physics, Shaoxing University, Shaoxing, Zhejiang, China.; Computer Science Department, Chernivtsi National University, Chernivtsi, Ukraine., Gordey I; Computer Science Department, Chernivtsi National University, Chernivtsi, Ukraine., Zheng J; Electro-Optical & Information Center, Taizhou Institute of Zhejiang University, Taizhou, China., Chen Z; Electro-Optical & Information Center, Taizhou Institute of Zhejiang University, Taizhou, China., Bin L; School of Optoelectronics, Zhejiang University, Hangzhou, China.
Jazyk: angličtina
Zdroj: Journal of biophotonics [J Biophotonics] 2024 Nov; Vol. 17 (11), pp. e202400356. Date of Electronic Publication: 2024 Sep 26.
DOI: 10.1002/jbio.202400356
Abstrakt: A 3D phase scanning method was applied to study blood plasma facies, generating layered polarization maps of the object field. The most sensitive parameters to changes in birefringence distribution were identified. Multifractal analysis using wavelet transforms and fractal dimension spectra provided specific insights into the scale self-similarity of the polarization maps. The multifractal spectra of ellipticity distributions were algorithmically derived, revealing that the third- and fourth-order statistical moments were most sensitive to changes in the supramolecular networks of the facies. These findings were successfully applied to differentiate post-COVID-19 effects with high accuracy.
(© 2024 Wiley‐VCH GmbH.)
Databáze: MEDLINE
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